Top Machine Learning Jobs in Minneapolis, MN

As a Product Manager for Search, drive strategies to enhance search experience by improving query understanding, product ranking, and personalization using consumer insights. Collaborate with teams to deliver a seamless digital experience that boosts engagement.

Lead product management initiatives at Capital One, focusing on customer needs and integrating technology to transform financial services. Oversee the product roadmap and collaborate with cross-functional teams to drive innovation and business outcomes.

Design and deploy machine learning algorithms, build scalable systems, and collaborate with teams to optimize ML solutions for healthcare.

As a Machine Learning Engineer, you will develop and enhance ML models for ads systems, collaborating with product leaders and engineers to optimize ads selection, ranking, and pricing.

The Lead Machine Learning Engineer will design and implement ML applications and systems, mentor junior developers, and optimize data pipelines while collaborating with cross-functional teams.

Analyze malware and detections, improve detection capabilities, and respond to internal inquiries regarding threat detection in cybersecurity. Requires understanding of malware functionality and experience with reverse engineering.

Lead the development of coding operations, manage the coding team, foster customer relationships, and drive product development improvements.

As a Product Manager for Recommendations Systems, you will enhance personalization capabilities, manage product strategy, and collaborate with teams to optimize performance and achieve business objectives.

As a Senior Data Scientist, you will integrate machine learning algorithms into systems, collaborate with engineering teams, and mentor junior data scientists.

As Lead ML Engineer, you will guide ML/AI engineering teams, drive product innovation, mentor engineers, and set technical goals for Meraki Assurance.

Lead the implementation of model risk management at Upstart, partnering with ML teams to ensure robust specifications, compliance, and documentation for models.

Lead the telematics initiative within Business Insurance, utilizing advanced statistical techniques and ML to develop models and communicate insights.

As a DevOps Engineer for MLOps, you'll manage infrastructure for AI-driven speech tech, develop CI/CD pipelines, optimize model deployment, and implement cloud and container best practices.

As a Staff Machine Learning Engineer, lead AI initiatives, optimize ML models on Edge devices, and work with petabyte-scale data. Collaborate across teams to enhance product features and drive customer success.

As a Senior Software Engineer on the ML Platform team, you will build and maintain MLOps platforms, enabling machine learning model deployment and training. You'll develop infrastructure for data access, tooling for rapid experimentation, and ensure automation in model training processes, collaborating with cross-functional teams.

The Product Marketing Director will refine messaging, lead campaigns, develop content, strengthen industry influence, and drive product launches in data science and AI.

Design and deploy machine learning models for clinical data. Collaborate with teams to implement ML solutions and ensure model efficacy in production.